Can eye-tracking data be measured to assess product design?: Visual attention mechanism should be considered

2016 ◽  
Vol 53 ◽  
pp. 229-235 ◽  
Author(s):  
Fu Guo ◽  
Yi Ding ◽  
Weilin Liu ◽  
Chang Liu ◽  
Xuefeng Zhang
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Product Design ◽  
Attention Mechanism ◽  
Tracking Data ◽  
Visual Attention Mechanism

scholarly journals Deep Learning Based Mineral Image Classification Combined with Visual Attention Mechanism

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Yang Liu ◽  
Zelin Zhang ◽  
Xiang Liu ◽  
Lei Wang ◽  
Xuhui Xia
Keyword(s):  
Deep Learning ◽  
Visual Attention ◽  
Image Classification ◽  
Attention Mechanism ◽  
Visual Attention Mechanism

Evaluation Method of Camouflage Effect Based on Human Visual Attention Mechanism

2021 ◽  
Author(s):  
Qi Jia ◽  
Mingxin Liu ◽  
Yang Yi ◽  
Liyan Zhu
Keyword(s):  
Visual Attention ◽  
Evaluation Method ◽  
Attention Mechanism ◽  
Visual Attention Mechanism ◽  
Human Visual Attention

scholarly journals Are Photographs Worth More Than a Thousand Words? Examining the Effects of Photographic–Textual and Textual-Only Frames on Public Attitude Toward Nuclear Energy and Nanotechnology

2018 ◽  
Vol 95 (4) ◽  
pp. 948-970 ◽  
Author(s):  
Edmund W. J. Lee ◽  
Shirley S. Ho
Keyword(s):  
Risk Perception ◽  
Visual Attention ◽  
Eye Tracking ◽  
Nuclear Energy ◽  
Public Support ◽  
Public Attitude ◽  
Theory And Practice ◽  
Tracking Data ◽  
Subject Design ◽  
The Impact

This study examines the impact of photographic–textual and risk–benefit frames on the level of visual attention, risk perception, and public support for nuclear energy and nanotechnology in Singapore. Using a 2 (photographic–textual vs. textual-only frames) × 2 (risk vs. benefit frames) × 2 (nuclear energy vs. nanotechnology) between-subject design with eye-tracking data, the results showed that photographic–textual frames elicited more attention and did have partial amplification effect. However, this was observable only in the context of nuclear energy, where public support was lowest when participants were exposed to risk frames accompanied by photographs. Implications for theory and practice were discussed.

The Study of ROI Detection Based on Visual Attention Mechanism

2010 ◽  
Author(s):  
Qing-hua Chen ◽  
Xiao-fang Xie ◽  
Tian-jie Guo ◽  
Lei Shi ◽  
Xiao-fei Wang
Keyword(s):  
Visual Attention ◽  
Attention Mechanism ◽  
Visual Attention Mechanism
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